An Innovative 9-Parameter Magnetic Calibration Method Using Local Magnetic Inclination and Calibrated Acceleration Value

Yu, H; Ye, L; Guo, Y; Su, S

An Innovative 9-Parameter Magnetic Calibration Method Using Local Magnetic Inclination and Calibrated Acceleration Value

Yu, H

Ye, L Guo, Y Su, S

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Sensors Journal, 2020, 20, (19), pp. 11275-11282
Issue Date:: 2020-10-01

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Field	Value	Language
dc.contributor.author	Yu, H https://orcid.org/0000-0003-3018-064X
dc.contributor.author	Ye, L
dc.contributor.author	Guo, Y
dc.contributor.author	Su, S https://orcid.org/0000-0002-5720-8852
dc.date.accessioned	2020-11-13T06:23:02Z
dc.date.available	2020-11-13T06:23:02Z
dc.date.issued	2020-10-01
dc.identifier.citation	IEEE Sensors Journal, 2020, 20, (19), pp. 11275-11282
dc.identifier.issn	1530-437X
dc.identifier.issn	1558-1748
dc.identifier.uri	http://hdl.handle.net/10453/143972
dc.description.abstract	© 2001-2012 IEEE. In this paper, an innovative algorithm for Tri-Axial Magnetometers calibration based on the magnetic inclination is proposed. The proposed 'Inclination based Calibration method' uses the fact that the angle between the local gravity and magnetic field is invariant hence overcoming the limitations of most existing in-field calibration methods which require nonlinear optimization. This calibration algorithm is formulated as the solution to a linear least square problem. A commonly used 9-parameter model and its associated 12-observation Icosahedron experimental scheme were developed to evaluate its applicability to calibrated Tri-Axial Magnetometers based on measured acceleration and magnetic data. The results show that the algorithm can provide effective calibration results for the magnetic field in both simulation and experiments. In addition, the influence of accelerometers data applied in this algorithm is investigated by simulation and experiment to demonstrate the importance of accelerometers data accuracy. The acceleration value after effective calibration is demonstrated to make an improvement in the estimation results.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Sensors Journal
dc.relation.isbasedon	10.1109/JSEN.2020.2995876
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject	0205 Optical Physics, 0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering
dc.subject.classification	Analytical Chemistry
dc.title	An Innovative 9-Parameter Magnetic Calibration Method Using Local Magnetic Inclination and Calibrated Acceleration Value
dc.type	Journal Article
utslib.citation.volume	20
utslib.for	0205 Optical Physics
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2020-11-13T06:22:59Z
pubs.issue	19
pubs.publication-status	Published
pubs.volume	20
utslib.citation.issue	19

Abstract:

© 2001-2012 IEEE. In this paper, an innovative algorithm for Tri-Axial Magnetometers calibration based on the magnetic inclination is proposed. The proposed 'Inclination based Calibration method' uses the fact that the angle between the local gravity and magnetic field is invariant hence overcoming the limitations of most existing in-field calibration methods which require nonlinear optimization. This calibration algorithm is formulated as the solution to a linear least square problem. A commonly used 9-parameter model and its associated 12-observation Icosahedron experimental scheme were developed to evaluate its applicability to calibrated Tri-Axial Magnetometers based on measured acceleration and magnetic data. The results show that the algorithm can provide effective calibration results for the magnetic field in both simulation and experiments. In addition, the influence of accelerometers data applied in this algorithm is investigated by simulation and experiment to demonstrate the importance of accelerometers data accuracy. The acceleration value after effective calibration is demonstrated to make an improvement in the estimation results.

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http://hdl.handle.net/10453/143972